plottoolbox

plottoolbox - Quick Guide

The plottoolbox is a Python script to manipulate time-series on the command line or by function calls within Python. Uses pandas (http://pandas.pydata.org/) or numpy (http://numpy.scipy.org) for any heavy lifting.

Requirements

pandas

Installation

pip

pip install plottoolbox

conda

conda install -c conda-forge plottoolbox

Usage - Command Line

Just run ‘plottoolbox –help’ to get a list of subcommands:

usage: plottoolbox [-h]
                   {autocorrelation, bar, bar_stacked, barh, barh_stacked,
                   bootstrap, boxplot, double_mass, heatmap, histogram,
                   kde, kde_time, lag_plot, lognorm_xaxis, lognorm_yaxis,
                   norm_xaxis, norm_yaxis, probability_density,
                   scatter_matrix, target, taylor, time, weibull_xaxis,
                   weibull_yaxis, xy, about} ...

positional arguments:
  {autocorrelation, bar, bar_stacked, barh, barh_stacked, bootstrap,
  boxplot, double_mass, heatmap, histogram, kde, kde_time, lag_plot,
  lognorm_xaxis, lognorm_yaxis, norm_xaxis, norm_yaxis,
  probability_density, scatter_matrix, target, taylor, time, weibull_xaxis,
  weibull_yaxis, xy, about}

autocorrelation
    Autocorrelation plot.
bar
    Bar plot, sometimes called a "column" plot.
bar_stacked
    Stacked vertical bar, sometimes called a stacked column plot.
barh
    Bar plot, sometimes called a "column" plot.
barh_stacked
    Horizontal stacked bar plot.
bootstrap
    Bootstrap plot randomly selects a subset of the imput time-series.
boxplot
    Box and whiskers plot.
double_mass
    Double mass curve - cumulative sum of x against cumulative sum of y.
heatmap
    2D heatmap of daily data.
histogram
    Histogram.
kde
    Kernel density estimation of probability density function.
kde_time
    A time-series plot with a kernel density estimation (KDE) plot.
lag_plot
    Lag plot.
lognorm_xaxis
    Log-normal x-axis.
lognorm_yaxis
    Log-normal y-axis.
norm_xaxis
    Normal x-axis.
norm_yaxis
    Normal y-axis.
probability_density
    Probability plot.
scatter_matrix
    Plots all columns against each other in matrix of plots.
target
    Creates a "target" diagram to plot goodness of fit.
taylor
    Taylor diagram to plot goodness of fit.
time
    Time-series plot.
weibull_xaxis
    Weibull x-axis.
weibull_yaxis
    Weibull y-axis.
xy
    Creates an 'x,y' plot, also known as a scatter plot.
about
    Display version number and system information.

optional arguments:
  -h, --help            show this help message and exit

The default for all of the subcommands is to accept data from stdin (typically a pipe). If a subcommand accepts an input file for an argument, you can use “–input_ts=input_file_name.csv”, or to explicitly specify from stdin (the default) “–input_ts=’-‘”.

For the subcommands that output data it is printed to the screen and you can then redirect to a file.

Usage - API

You can use all of the command line subcommands as functions. The function signature is identical to the command line subcommands. The return is always a PANDAS DataFrame. Input can be a CSV or TAB separated file, or a PANDAS DataFrame and is supplied to the function via the ‘input_ts’ keyword.

Simply import plottoolbox:

from plottoolbox import plottoolbox

# Then you could call the functions
plt = plottoolbox.time(input_ts='tests/test_fill_01.csv')

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

plottoolbox-105.2.4.tar.gz (38.8 MB view details)

Uploaded Jun 22, 2026 Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

plottoolbox-105.2.4-py3-none-any.whl (34.7 MB view details)

Uploaded Jun 22, 2026 Python 3

File details

Details for the file plottoolbox-105.2.4.tar.gz.

File metadata

Download URL: plottoolbox-105.2.4.tar.gz
Upload date: Jun 22, 2026
Size: 38.8 MB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for plottoolbox-105.2.4.tar.gz
Algorithm	Hash digest
SHA256	`0cd4be50a28dec6301c9b3d2be88b8ad9cb65c85814cc6539b6498b268b8f04e`
MD5	`002a974f88f43f3134504f061d3353b8`
BLAKE2b-256	`6da993c366c55dda7abed81fa699e573f6617f07c75d33c7a2cb8e98a20344b0`

See more details on using hashes here.

Provenance

The following attestation bundles were made for plottoolbox-105.2.4.tar.gz:

Publisher: pypi-package.yml on timcera/plottoolbox

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: plottoolbox-105.2.4.tar.gz
- Subject digest: 0cd4be50a28dec6301c9b3d2be88b8ad9cb65c85814cc6539b6498b268b8f04e
- Sigstore transparency entry: 1914582389
- Sigstore integration time: Jun 22, 2026
Source repository:
- Permalink: timcera/plottoolbox@3b009c668fb934e6edde507b287324d3a003b786
- Branch / Tag: refs/heads/main
- Owner: https://github.com/timcera
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: pypi-package.yml@3b009c668fb934e6edde507b287324d3a003b786
- Trigger Event: push